Sr. Data Scientist

Job Posting Title
Sr. Data Scientist

Agency
090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV

Supervisory Organization
CIO

Full/Part-Time
Full time

Job Type
Regular

Compensation

As a Sr. Data Scientist with OMES you will enjoy:

• Generous leave including 15 days of vacation, 15 days of sick leave and 11 paid holidays annually.
• A comprehensive Benefit Package with a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents.

Job Details

• Full-time 40-hour work weeks.
• Support the Information Services Division.
• Salary is based on education and experience.
• This is an on-site position located in Oklahoma City, OK.

Position Summary

The Sr. Data Scientist is a senior technical role responsible for spearheading advanced analytics and artificial intelligence initiatives that inform strategic and operational decision-making across enterprise technology and State agencies. This position serves as a recognized expert in data science, machine learning, analytics, and emerging AI technologies, including Generative AI (GenAI).

The role leads complex, high-impact analytics efforts end-to-end—from data acquisition and modeling through insight delivery and operationalization—while partnering closely with business leaders, engineers, and data teams. In addition to deep technical expertise, this position requires strong executive communication skills and the ability to translate complex analytical outcomes into clear, actionable recommendations.

• Lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions that support strategic, operational, and policy decisions.
• Translate ambiguous or complex business problems into clear analytical hypotheses, solution architectures, and delivery plans.
• Design and implement predictive models, forecasting, anomaly detection, optimization techniques, and performance analytics.
• Develop and operationalize Generative AI (GenAI) and LLM-enabled solutions, including retrieval-augmented generation (RAG) workflows where appropriate.
• Ensure analytics and AI solutions meet enterprise standards for reliability, scalability, security, and maintainability.

• Lead efforts in data collection, preprocessing, validation, and analysis across structured and unstructured data sources.
• Partner with data engineering teams to identify valuable data sources and improve or automate data pipelines and ingestion processes.
• Ensure data quality, integrity, and usability for analytics and AI applications.
• Architect and refine data models that enable consistent, trusted insights across use cases.

• Serve as a subject matter expert in data science, analytics, and AI methodologies.
• Establish and uphold standards for model development, validation, and documentation.
• Ensure code quality, peer review, and version control.
• Oversee testing, deployment, and lifecycle management.
• Promote responsible and ethical use of AI.

• Partner with senior leaders, program managers, engineers, and operational teams to align analytics initiatives with organizational objectives.
• Define and maintain enterprise-relevant metrics, KPIs, and operational health indicators aligned with organizational strategy.
• Develop reports, dashboards, and visualizations using platform-agnostic approaches to ensure accessibility and clarity.
• Present insights in a manner that is understandable and impactful for both technical and non-technical audiences.
• Other duties as assigned.

Physical Demands and Work Environment

This position works in a comfortable office setting with a computer for a large percentage of the workday. The noise level in the work environment is usually mild. Occasional travel may be required.

Requirements include a bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, and seven or more years of progressively responsible experience delivering data science, analytics, or AI solutions.

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a…